colehawkins / bayesian-tensor-rank-determinationLinks
☆13Updated 3 years ago
Alternatives and similar repositories for bayesian-tensor-rank-determination
Users that are interested in bayesian-tensor-rank-determination are comparing it to the libraries listed below
Sorting:
- TedNet: A Pytorch Toolkit for Tensor Decomposition Networks☆96Updated 3 years ago
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆18Updated 3 years ago
- Implementations of the algorithms described in the paper: On the Convergence Theory for Hessian-Free Bilevel Algorithms.☆10Updated last year
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆43Updated 6 years ago
- 😎 A curated list of tensor decomposition resources for model compression.☆87Updated last week
- code to show F-Principle in the DNN training☆59Updated 3 years ago
- [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…☆45Updated 2 years ago
- Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection☆21Updated 4 years ago
- Neural Tangent Kernel Papers☆119Updated 10 months ago
- [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, T…☆32Updated 3 years ago
- ☆12Updated 3 years ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆30Updated 3 years ago
- ☆17Updated 3 years ago
- [ICML 2021] The official PyTorch Implementations of Positive-Negative Momentum Optimizers.☆27Updated 3 years ago
- MNIST experiment from Tensorizing neural networks (Novikov et al. 2015)☆13Updated 6 years ago
- Pytorch implementation for Decomposed Convolutional Filters Network☆23Updated 5 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆90Updated 2 years ago
- Official implementation for the paper "Controlled Sparsity via Constrained Optimization"☆11Updated 3 years ago
- Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"☆15Updated 3 years ago
- Model compression by constrained optimization, using the Learning-Compression (LC) algorithm☆72Updated 4 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆32Updated 5 years ago
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆60Updated 4 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆48Updated 4 years ago
- [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.☆59Updated 2 years ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆39Updated 3 years ago
- [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…☆65Updated last year
- ☆72Updated 11 months ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆41Updated 5 years ago
- [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration☆31Updated 2 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆53Updated 4 years ago